Fulvio De Santis
- Statistics and Probability top 1%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 5%
- Economics and Econometrics
- Artificial Intelligence
- Co-authors
- Julia MorteraAlessandra Nardi
- Topics
- Statistical Methods in Clinical Trials (24 papers)Optimal Experimental Design Methods (22 papers)Statistical Methods and Bayesian Inference (14 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical AssociationStatistics in MedicineInternational Journal of Environmental Research and Public Health
- Partner nations
- Italy
In The Last Decade
Fulvio De Santis
29 papers receiving 314 citations
Peers
Comparison fields: 5 of 74
- Statistics and Probability 282
- Management Science and Operations Research 134
- Statistics, Probability and Uncertainty 71
- Economics and Econometrics 42
- Artificial Intelligence 38
Countries citing papers authored by Fulvio De Santis
This map shows the geographic impact of Fulvio De Santis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fulvio De Santis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fulvio De Santis more than expected).
Fields of papers citing papers by Fulvio De Santis
This network shows the impact of papers produced by Fulvio De Santis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fulvio De Santis. The network helps show where Fulvio De Santis may publish in the future.
Co-authorship network of co-authors of Fulvio De Santis
This figure shows the co-authorship network connecting the top 25 collaborators of Fulvio De Santis. A scholar is included among the top collaborators of Fulvio De Santis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fulvio De Santis. Fulvio De Santis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 41 | |
| 14 | 0 | |
| 15 | 23 | |
| 16 | 36 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 26 |
About Fulvio De Santis
Fulvio De Santis is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 330 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (24 papers), Optimal Experimental Design Methods (22 papers) and Statistical Methods and Bayesian Inference (14 papers). The work is most often cited by research in Statistics and Probability (282 citations), Management Science and Operations Research (134 citations) and Statistics, Probability and Uncertainty (71 citations). Fulvio De Santis has collaborated with scholars based in Italy. Frequent co-authors include Julia Mortera and Alessandra Nardi. Their work appears in journals such as Journal of the American Statistical Association, Statistics in Medicine and International Journal of Environmental Research and Public Health.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.